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). Candidates should have a Master’s degree in physical chemistry, computational chemistry, biophysics, computational biology, biochemistry, or equivalent. Candidates should have demonstrated interest in
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stimulating for all employees. We continuously work to create conditions for job satisfaction, development, and participation for all employees. We safeguard both physical safety and the psychosocial work
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focuses on developing a fundamental understanding and numerical models for multiphase flows, which are crucial for various industrial processes. The successful candidate will develop advanced physics-based
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Master’s degree (or equivalent) in physics, chemistry, materials science or similar, and shares our passion for developing an emerging technology for practical applications by systematic material development
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must pass the vetting process to be eligible for employment. Please do not send offers of recruitment or advertising services. Submit your application through Uppsala University’s recruitment system.
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that you have a PhD in natural sciences/technology/medicine/mathematics/physics or equivalent, with a focus on machine learning, Excellent oral and written English skills, Publications in machine learning
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advantageous but is not required. Terms and conditions The doctoral student will be employed on a doctoral studentship maximum 4 years full-time. Application process Submit your application and supporting
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, and verifiable by involving users directly in the response validation process and ensuring that every answer is traceable to a clear source and justification. The project will focus on interdisciplinary
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master's level degree corresponding to at least 240 higher education credits in a relevant field. Msc in Mechanical Eng., Hydraulic/Civil Engineering, Chemical Eng., Physics, Math, Eng., Aeronautics or any
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field. • Msc in Mechanical Eng., Hydraulic/Civil Engineering, Chemical Eng., Physics, Math, Eng., Aeronautics or any corresponding Msc. • Knowledge of fluid mechanics. • Experience with